Machine Learning Engineer
London, England, United Kingdom
Clarity AI
Clarity AI, a tech platform that delivers insights on the social and environmental impact of over 30,000 organizations.This position can be based in London or Madrid. Remote options are available as well across the US and EU.
At Clarity AI, we are committed to bringing social impact to markets. We are a tech company started in 2017, leveraging AI and machine learning technologies to ensure environmental, social and governance dimensions are the focal point of decision making within financial markets.
We are now a team of more than 200 highly passionate individuals coming from all over the world. Together, we have established Clarity AI as a leading startup backed by investors and strategic partners such as BlackRock, SoftBank and Deutsche Börse who believe in us and share our goals. We have plans to continue growing our teams in Spain, the UK and the US this year so if you would like to join us on this rocket ship, keep reading!
Clarity AI is looking for a Machine Learning Engineer to help us develop and deploy our models at scale, so that we can continue to deliver the best quality sustainability data to our customers and partners. Machine Learning models are an integral part of Clarity AI’s strategy to provide transparent, accurate, consistent and high coverage metrics for impact investing, as efficiently as possible.
You would be joining a team of Data Scientists and Machine Learning Engineers based in the UK, Europe and USA.
Requirements
Expectations for the role
- Define and implement best practices for development, experimentation, collaboration, deployment and monitoring of ML models in accordance with our objectives and priorities.
- Design, build, evaluate, ship, and refine Clarity’s ML products with hands-on ML development and deployment.
- Help drive optimization, testing, and tooling to improve the quality of the ML deliverables.
- Help other members of the Data Science team work more effectively.
- Ensuring we are aligned with our colleagues in Engineering and collaborate closely with cross functional teams.
- Keeping up to date with the latest developments in MLE.
What excites us?
- Full life-cycle ML hands-on productionization experience at scale.
- Passionate about reproducibility, automation and scalability.
- The intellectual curiosity to keep learning new things.
- The ability to clearly advocate for a particular approach, and explain why.
- A tech stack that includes some or all of: Python, cloud (AWS), Git, CI/CD, containerization, DAGs, APIs, ML platforms, Deep Learning frameworks.
- Experience with Deep Learning NLP models in production is a plus.
- A Git profile that shows off your capabilities and interests.
What excites you?
- Seeing your work being used in production by clients.
- Working with other talented, passionate and motivated people towards a common goal.
- Technology and open source software
https://stackshare.io/clarity-ai/clarity-ai-data-science-and-mle
Benefits
WHAT WE OFFER
Our people are our main asset. We have built a unique team and we all share 3 differential aspects: Excellence, Passion and Values:
- Our team comprises professionals from leading tech, consulting and banking firms, entrepreneurs, PhDs from top research institutions, and MBA graduates from top business schools.
- Clarity’s Founder and CEO, Rebeca Minguela, is a successful entrepreneur who has been recognized as one of the most distinguished leaders under the age of 40 by prestigious institutions like the World Economic Forum. Rebeca is joined by an excellent leadership team coming from diverse backgrounds, countries and experiences.
We are different. We work hard to become the best place to work and pride ourselves on our culture:
- Fact based: Promoting objective, fact-based and solution-oriented discussions.
- Diverse: Encouraging diversity of personalities, cultures and experiences.
- Transparent: Communicating feedback transparently, constructively and in real-time.
- Meritocratic: Striving for excellence and rewarding the best.
- Flexible: Working flexibly in the broadest sense (schedule, location, vacation, styles).
We care about our employees and think they deserve the best.
- Stock/ Phantom: We want our employees to feel part of Clarity. That’s why we give them the opportunity to participate in our success with phantom stock options.
- Remote benefits: We offer remote working flexibility
- Training budget: Continued learning is important to us so we provide everyone with a yearly training budget.
- Additional benefits are available depending on your location.
We are a US company with a Spanish subsidiary. We have amazing offices in Madrid, London and New York City.
Clarity has received several awards:
- World Economic Forum Pioneer
- One of the most innovative projects in the US. Harvard Innovation Lab
- Top startup with impact worldwide by IMPACT Growth 2017
- Top 10 Fintech startup worldwide by BBVA Open Talent
- Young Global Leader to Rebeca Minguela 2017
Privacy Policy
Responsibility: Clarity AI Inc. 160 Greentree Drive, Suite 101, City of Dover, County of Kent, Delaware 19904, United States. Purpose: management of selection processes for new employees. Legitimation: necessary processing for contract execution. Recipients: company of the Clarity Group in the country that would carry out the contract or where position is being offered. Rights: the interested party may exercise the rights of access, rectification, opposition, limitation, suppression, portability and not to be the object of automated decisions according to the Privacy Policy. More info: to consult the privacy policy in detail, click on the following link (Privacy Policy)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Banking CI/CD Consulting Deep Learning Engineering FinTech Git Machine Learning ML models NLP Open Source Python Research Testing
Perks/benefits: Career development Equity Flex hours Flex vacation Startup environment
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